一种改进的遥感图像自适应加权滤波算法

遥感图像在其获取、传输的过程中，受到多种因素的影响，会含有各种噪声而降质。文中在分析传统的去噪处理算法和自适应中值滤波算法的(AMF)基础上，提出了一种自适应加权的遥感图像去噪滤波方法。该算法针对噪声图像上每一点，应用自适应加权算子，对于不同的图像区域，算子自适应地进行窗口大小和输出像素值的改变。试验证明，该方法优于传统的去噪滤波算法和AMF滤波算法，在滤除噪声的同时尽可能地保留了图像细节，对于遥感图像去噪增强具有很好的效果。

An Improved Method of Adaptive and Weighting Filter for Remote-sensing Image

During it's process of obtaining and transmission, remote sensing(RS) image was degraded by various noises due to the influence of manifold factors.In this paper, based on the analysis of the usual smoothing filter and adaptive median filter (AMF), a novel adaptive, weighting filter (AWF)scheme for RS image denoising is presented. The adaptive weighting operator is applied to the every point on the noised image, at the same time, it's window size and the corresponding output pixel value adaptively vary with the image area. Numerical results indicate that the scheme has a well performance on RS image compared with traditional filter algorithms and AMF algorithm, and the image detail is kept well simultaneously.